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Hybrid Encryption Algorithms Over Wireless Communication Channels

為了解決Completeness的問題，作者 這樣論述：

This book presents novel hybrid encryption algorithms that possess many different characteristics. In particular, ＂Hybrid Encryption Algorithms over Wireless Communication Channels＂, examines encrypted image and video data for the purpose of secure wireless communications. A study of two differen

t families of encryption schemes are introduced: namely, permutation-based and diffusion-based schemes. The objective of the book is to help the reader selecting the best suited scheme for the transmission of encrypted images and videos over wireless communications channels, with the aid of encrypti

on and decryption quality metrics. This is achieved by applying number-theory based encryption algorithms, such as chaotic theory with different modes of operations, the Advanced Encryption Standard (AES), and the RC6 in a pre-processing step in order to achieve the required permutation and diffusio

n. The Rubik’s cube is used afterwards in order to maximize the number of permutations.Transmission of images and videos is vital in today’s communications systems. Hence, an effective encryption and modulation schemes are a must. The author adopts Orthogonal Frequency Division Multiplexing (OFDM),

as the multicarrier transmission choice for wideband communications. For completeness, the author addresses the sensitivity of the encrypted data to the wireless channel impairments, and the effect of channel equalization on the received images and videos quality.Complete simulation experiments with

MATLAB(R) codes are included. The book will help the reader obtain the required understanding for selecting the suitable encryption method that best fulfills the application requirements.

Completeness進入發燒排行的影片

選手知覺教練領導行為與訓練滿意度之研究-以高雄市高中田徑選手為例

為了解決Completeness的問題，作者趙珮伶 這樣論述：

　　本研究在探討高雄市高中田徑教練領導行為與高中田徑選手訓練滿意度之現況，比較不同教練領導行為對於不同背景變項選手之訓練滿意度差異情形及相關性。本研究以「高雄市高中田徑選手知覺教練領導行為與訓練滿意度之研究問卷」為工具，將所得181份問卷，有效回收率100%，以t考驗、單因子變異數分析、皮爾遜積差相關進行統計分析、獲得以下研究結果：一、高雄市高中田徑選手在教練領導行為以「訓練指導行為」感受 程度最高，其次分別為「期望行為」、「獎勵與關懷行為」、「民主行為」，感受程度最低為「專制行為」。二、高雄市高中田徑選手在訓練滿意度中以「教練領導」感受程度最高，其次分別為「團隊氣氛」、「訓練滿意度」、「場

地設施」、感受程度最低為「成就表現」。三、在不同背景變項中「不同參與訓練年資」之高雄市高中田徑選手知覺教練領導行為，達顯著差異。四、在不同背景變項中之訓練滿意度，皆未達顯著差異。五、高雄市高中田徑選手知覺教練領導行為與選手訓練滿意度相關情形，在「專制行為」呈現負相關，其餘構面呈顯著正相關。本研究獲得結論：隨著時代教育改革之推動，教練領導應多採用訓練與指導行為、期望行為、獎勵與關懷行為，以達成有效運動團隊之管理，針對未來研究可擴及不同變項，進行多方探究，增加研究結果的完整性。

Multimedia Communications, Services and Security: 10th International Conference, McSs 2020, Kraków, Poland, October 8-9, 2020, P

為了解決Completeness的問題，作者 這樣論述：

Multi-Sector Assessment Framework - A New Approach to Analyse Cybersecurity Challenges and Opportunities.- New approach of solving congruent equation system.- A Machine Learning Approach to Dataset Imputation for Software Vulnerabilities.- Towards the Design of a Cybersecurity Competence Network: Fi

ndings from the Analysis of Existing Network Organisations.- On the assessment of completeness and timeliness of actionable cyber threat intelligence artefacts.- A novel watermark method for image protection based on Periodic Haar Piecewise-Linear Transform.- Criticality assessment of critical infor

mation infrastructure objects: a category based methodology and Ukrainian experience.- Evaluating calibration and robustness of pedestrian detectors.- A Smart Algorithm for CO2 Emissions reduction on realistic traffic scenarios exploiting VANET architecture.- Ensemble malware classification using ne

ural networks.- A Resilient Distributed Measurement System for Smart Grid Application.- Impact of Bloom Filters on Security and Efficiency of SecaaS Services.- Analysis of available microcontroller computing resources for the application of some cryptographic hash functions on different Internet of

Things platforms.- Workflow Management System with Automatic Correction.- Convolutional Neural Network Decoder for Enhanced Hadamard Error Correcting Code and its Application in Video Watermarking.- Crowd density estimation based on face detection under significant occlusions and head pose variation

s.- A Hybrid Data Fusion Architecture for BINDI: a Wearable Solution to Combat Gender-based Violence.- Dangerous Tool Detection for CCTV Systems.- Isolated word automatic speech recognition system.- Audio Feature Analysis for Precise Vocalic Segments Classification in English.- Toward court-admissib

le sensor system to fight domestic violence.- A VCA-based Approach to Enhance Learning Data Sets for Object Classification.- Symbol Error Probability of Secondary User in Underlay Cognitive Radio Networks with Adaptive Transmit Power Constraint.- Evaluation of Improved Components of AMIS Project for

Speech Recognition, Machine Translation and Video/Audio/Text Summarization.- Survey on the State-Of-The-Art Methods for Objective Video Quality Assessment in Recognition Tasks.- Three-dimensional operating room with unlimited perspective.

以時間卷積網路結合特徵工程分析牙科手機轉子筒夾之健康狀態

為了解決Completeness的問題，作者陳柏辰 這樣論述：

隨著科技進步與工業技術的大躍進，高科技與工業技術涵蓋之機械精密度與系統的完整性日益漸增。為滿足設備元件於操作的可靠性與顧及工作人員的安全，需要對元件進行完整的監控，以提升安全性與降低維護成本。本研究將建立牙科手機的健康狀態診斷模型，以加速規擷取振動訊號，透過特徵工程的方式，取得三軸振動訊號中重要的特徵，以建立診斷系統的數據集，再透過深度學習中具有空洞因果卷積與殘差連接的時間卷積網路(Temporal Convolution Network)作為診斷分類模型之核心。研究顯示TCN於切削前三軸空轉訊號的訓練準確率為74.51%、95.99%、88.88%，較LSTM (68.97%、86.29%

、68.08%)與1DCNN(73.47%、92.03%、81.72%)表現優異，若以切削後X軸空轉訊號準確率上，以1DCNN的80.09%較佳，其餘仍以TCN在Y與Z軸的結果90.01%、90.82%最佳。測試準確率的部分，TCN於切削前三軸空轉訊號的準確率為70.78%、94.83%、87.94%，優於LSTM (69.00%、86.11%、68.28%)與1DCNN(70.44%、91.50%、79.28%)，若以切削後X軸空轉訊號準確率上，以1DCNN的77.61%較佳，其餘仍以TCN在Y與Z軸的結果89.00%、85.28%最佳。本研究以建立人工智慧的學習方式，即時偵測與診斷牙科手機

當前之使用狀態，可避免牙醫師使用異常的牙科器械，進而造成病患的不適與添上心理陰影。